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Big Data and Predictive Analytics for Supply Chain and Organizational Performance

Gunasekaran, Angappa, Papadopoulos, Thanos, Dubey, Rameshwar, Fosso Wamba, Samuel, Childe, Stephen J., Hazen, Benjamin, Akhter, Shahriar (2016) Big Data and Predictive Analytics for Supply Chain and Organizational Performance. Journal of Business Research, 70 . pp. 308-317. ISSN 0148-2963. (doi:10.1016/j.jbusres.2016.08.004)

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Abstract

Scholars acknowledge the importance of big data and predictive analytics (BDPA) in achieving business value and firm performance. However, the impact of BDPA assimilation on supply chain (SCP) and organizational performance (OP) has not been thoroughly investigated. To address this gap, this paper draws on resource-based view. It conceptualizes assimilation as a three stage process (acceptance, routinization, and assimilation) and identifies the influence of resources (connectivity and information sharing) under the mediation effect of top management commitment on big data assimilation (capability), SCP and OP. The findings suggest that connectivity and information sharing under the mediation effect of top management commitment are positively related to BDPA acceptance, which is positively related to BDPA assimilation under the mediation effect of BDPA routinization, and positively related to SCP and OP. Limitations and future research directions are provided.

Item Type: Article
DOI/Identification number: 10.1016/j.jbusres.2016.08.004
Subjects: H Social Sciences
T Technology
Divisions: Faculties > Social Sciences > Kent Business School > Management Science
Depositing User: Thanos Papadopoulos
Date Deposited: 11 Sep 2016 12:02 UTC
Last Modified: 07 Feb 2020 04:08 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/57171 (The current URI for this page, for reference purposes)
Papadopoulos, Thanos: https://orcid.org/0000-0001-6821-1136
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